Jurnal ilmiah teknologi informasi Asia
Vol 18 No 2 (2024): Volume 18 nomor 2 2024 (8)

Analisis Sentimen Tiktok Shop Menggunakan Metode Multinomial Naïve Bayes Dan BM25

Yasin, Andrew Arjunanda (Unknown)
Prasetya, Dwi Arman (Unknown)
Fahrudin, Tresna Maulana (Unknown)



Article Info

Publish Date
28 Aug 2024

Abstract

In the current digital era, TikTok has emerged as a popular application among internet users. One prominent feature is the TikTok Shop, which allows users to shop directly through the platform. However, on October 4, 2023, TikTok Shop was temporarily suspended by the government due to online trade regulation policies. After reopening on December 12, 2023, various responses from the public emerged in reaction to this phenomenon. This research conducted sentiment analysis on TikTok Shop by observing public responses on Twitter using the Multinomial Naïve Bayes classification method with word weighting using the BM25 and TF-IDF methods. The analysis results showed a majority of positive sentiment regarding TikTok Shop, indicating disapproval of the previous closure policy. In testing with a 10% test sample size, BM25 showed slightly better performance than TF-IDF.

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Journal Info

Abbrev

jitika

Publisher

Subject

Computer Science & IT

Description

Published by Institute for Research, Development and Community Service (Lembaga Penelitian, Pengembangan dan Pengabdian Masyarakat / LP2M) of High School of Information & Computer Management (Institut Teknologi dan Bisnis AsiA MALANG as a periodical publication that provides information and analysis ...